Provider-facing decision support for addiction treatment
Provider-facing decision support for addiction treatment. Divinia Health helps care teams recognize observable changes in engagement and follow through, without replacing clinical judgment.
The gap
Participation can begin to change long before a crisis or discharge. Yet the relevant information is often fragmented across attendance records, staff observations, and handoffs, making it difficult for care teams to recognize a pattern and respond consistently.
How it works
Bring attendance and engagement information into one usable view.
Surface patterns based on criteria the provider can inspect, configure, and override.
Notify the appropriate staff member and preserve an accountable record of the response.
What it looks like
Illustrative workflow using synthetic data.
Attendance, participation, and engagement events appear as structured data points.
Separate signals converge into one coherent operational picture.
A meaningful change becomes visible, without being labeled as a prediction or diagnosis.
The concern moves to a clearly identified staff owner.
Care coordinator notified.
Action: outreach call scheduled.
The action and follow-through are recorded, closing the operational loop.
10:42 AM: Call completed.
Follow-up documented.
Principles
Divinia Health informs care. It doesn't automate it away. No flag should drive a high-stakes decision on its own.
Built for the clinics and programs actually providing care, not around them.
Every signal traces back to something a clinician can see, question, and override.
De-identified and synthetic data come first. Identifiable patient data is used only under appropriate governance, security controls, and data agreements.
Right now
We're developing and testing this workflow using synthetic and de-identified data, in preparation for a pilot inside a live behavioral health treatment program, under appropriate clinical governance, security controls, and data agreements.